Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes-Reference-Cited by-同舟云学术

Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes

Author:

Lu Huiqi Y.¹^ORCID,Ding Xiaorong²^ORCID,Hirst Jane E³,Yang Yang⁴,Yang Jenny¹^ORCID,Mackillop Lucy³,Clifton David¹

Affiliation:

1. Engineering Science, University of Oxford, Oxford, United Kingdom

2. School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

3. NHS Foundation Trust, Oxford University Hospitals, Oxford, United Kingdom

4. Department of Engineering Science, University of Oxford, Oxford, United Kingdom

Funder

Royal Academy of Engineering Daphne Jackson Trust Fellowship Funding

EPSRC Healthcare Technologies Challenge Award

Oxford John Fell Fund

InnoHK Project Programme 3.2: Human Intelligence

AI Integration (HIAI) for the Prediction and Intervention of CVDs: Warning System

Hong Kong Centre for Cerebro-cardiovascular Health Engineering

National Institute for Health Research

Oxford Biomedical Research Centre

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

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